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A fully automatic artificial intelligence system for the diagnosis of pathological adenoid hypertrophy based on face images

A fully automatic artificial intelligence system for the diagnosis of pathological adenoid hypertrophy based on face images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114734
Enrollment
Unknown
Registered
2025-12-17
Start date
2023-09-15
Completion date
Unknown
Last updated
2026-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adenoid hypertrophy

Interventions

Children with adenoid hypertrophy group:None
Children with normal adenoids group:None

Sponsors

School of Stomatology, Air force medical university
Lead Sponsor

Eligibility

Sex/Gender
All
Age
3 Years to 15 Years

Inclusion criteria

Inclusion criteria: Two hundred children, aged 3-15 years, who were diagnosed with adenoidal hypertrophy at the Department of Orthodontics, Stomatology Hospital, Air Force Military Medical University, from January 2019 to June 2023 for various reasons were included. During the same period, 200 cases of normal children without adenoid hypertrophy aged 3-15 years were also collected as a control group. All the children have clear frontal and side photos of their faces.The guardian of the patient agreed to the patient's participation in this study.

Exclusion criteria

Exclusion criteria: Medical record information is missing and altered; no initial facial information is available.

Design outcomes

Primary

MeasureTime frame
Accuracy;Precision;The average area under the ROC;

Countries

China

Contacts

Public ContactJie Gao

School of Stomatology, Air force medical university

smile610627@126.com+86 29 8477 6138

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026